• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.293-296
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• 2012

본 논문에서는 에너지 수확 무선 센서 네트워크에서 버스티 데이터 전송에 효율적인 수신자 기반의 MAC 프로토콜을 제안한다. 에너지 수확 무선 센서 네트워크는 기존의 배터리에 의해 동작하는 센서 네트워크에 비해 태양열과 같은 주변의 환경으로부터 에너지를 수확하여 사용함으로써 전체 네트워크의 수명을 향상시킬 수 있는 장점으로 인하여 많은 연구가 이루어지고 있다. 본 논문에서는 에너지 수확 무선 센서 네트워크에서 데이터 전송에 참여하는 센서 노드의 에너지를 참고하여 비콘(beacon) 주기를 조절하고 수신자(receiver) 비콘에 응답(acknowledgment)신호를 포함시킴으로써 버시티 데이티(bursty data) 전송에 효율적이면서, 센서 노드의 에너지를 절약할 수 있는 MAC 프로토콜을 제안한다. 본 논문에서는 제안된 MAC 프로토콜과 기존에 연구되었던 ODMAC 프로토콜과 에너지 절약 및 버스티 데이터 전송 효율면에서 비교분석한다.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.02a
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• pp.60-66
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• 2002

본 연구는 진동형 구기자 수확기를 개발함에 있어서 탈과된 열매를 손상없이 집과하여 수확작업의 노동력 및 경제적 비용을 줄이고, 농산물 수확의 기계화를 활성화 시키는데 그 목적을 두었다. 생물학적, 재배학적, 그리고 환경적 요인들을 고려하여 탈과열매의 효과적인 집과를 위한 집과장치를 설계·개발하고, 성능시험을 실시하여 집과장치의 집과효율을 분석 하였으며, 그 결과는 다음과 같다. 1. 수확시작기의 주행시에는 집과안내장치가 구기자 나무 밑부분과 부딪침이 없고, 탈과작업시에는 구기자 나무 밑의 공간까지 집과기능을 갖도록, 4절 링크 시스템을 이용하여 집과 안내장치를 개폐식으로 설계제작하였다. 2. 개폐식으로 제작된 집과장치를 진동형 구기자 수확기 시작기에 장착하여 성능시험을 한 결과, 숙과의 수집율은 88∼96%로 나타났다. 3. 미수집율인 4∼12%는 개폐식 집과장치의 기능저하로 인하여 발생한 것이 아니고, 기계전후 방향의 열매의 튐 현상에 의한 것이었으며, 이 손실은 비산방지막 커튼의 설치로 보완되리라 사료되었다.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.165-173
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• 2020

The emergence of unmanned agricultural machinery has brought new research content to the development of precision agriculture. In order to speed up the research on key technologies of unmanned agricultural machinery, classification of intelligence level of unmanned agricultural machinery has become a primary task. In this study, the researchers take the complex interactive system consisting of unmanned grain harvester, task and driving environment as the research object, and carry out a research on the grading and classification of intelligent level of unmanned grain harvester. The researchers of this study also establish an evaluation model of unmanned grain harvester vehicle, which consists of human intervention degree, environmental complexity, and task complexity. Besides, the grading and classification of intelligence level of the unmanned grain harvester is carried out according to the human intervention degree, environmental complexity and the task complexity of the unmanned grain harvester. It provides a direction for the future development of unmanned agricultural machinery.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.468-468
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• 2011

작물생육모형은 다양한 환경조건 하에서 주요 작물에 대한 생육 및 생산량의 종합적인 모의가 가능하며, DSSAT(Decision Support System for Agrotechnology Transfer)의 경우 지난 20여 년간 많은 연구자들에 의해서 작물생육을 모의하는데 사용되어왔다. 또한, 하수재이용은 물 부족을 겪는 많은 국가에서 주요한 대체수자원으로 간주되고 있으며, 생활용수, 공업용수, 농업용수 등의 다양한 형태로 이용되고 있다. 본 연구에서는 DSSAT을 이용하여 하수 처리수의 농업용수 재이용에 따른 논벼의 수확량을 모의하고 분석하였다. 하수처리수의 농업용수 재이용에 따른 논벼 수확량 분석을 위하여 기상, 토양, 관개량 및 관개수 수질 등의 입력자료를 구축하였다. DSSAT을 이용한 논벼 수확량의 모의치와 수원시 하수처리장 인근에 조성된 시험포장에서 실측한 4년간(2006년~2009년)의 수확량 자료와의 비교를 통해 작물생육모형의 적용성을 평가하였다. DSSAT을 이용한 논벼 수확량의 모의치는 실제 수확량과 높은 상관관계를 보여줌으로서 하수재이용에 따른 논벼 수확량 분석에서 작물생육모형이 적용 가능한 것으로 나타났다.

• Journal of Bio-Environment Control
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• v.20 no.3
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• pp.233-240
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• 2011

We evaluated the changes of fruit quality factors and the incidence of physiological disorders during the periods of high temperature environment in 'Wonhwang' and 'Whasan' pears to determine appropriate harvest time for exportation. In 'Wonhwang' pears, the fruits harvested at 130 days after full bloom (DAFB) showed 31.3 and 17.6N of flesh firmness after 5 and 10 days after simulated marketing at $30^{\circ}C$, respectively, while those of the fruits harvested at 135 DAFB lowered to 16.7 or 6.9N, respectively. Whereas, 'Whasan' pear showed higher firmness during 14 days of high marketing condition than 'Wonhwang' pears which represented 30.4, 26.5 and 21.6N in the fruits harvested 145, 150 and 155 DAFB, respectively. Higher soluble solid contents and lower acidity values observed in the late harvested fruits in both cultivar along with increased marketing period at $30^{\circ}C$. Late harvested 'Wonhwang' pears showed higher respiration rate and ethylene production than early harvested ones, while those of 'Whasan' pears showed lower values regardless of fruit maturity which represented less than 50% of 'Wonhwang' pears. The incidence of physiological disorders such as internal browning, water soaking, flesh spot decay, core breakdown and pithiness appeared more severely in the fruits of 'Wonhwang' in accordance with the progress of high temperature marketing and fruit maturity. Whereas, those symptoms were occurred only after 14 days of prolonged marketing time in 'Whasan' pears. Consequently, it was needed to pay more attention to determine the ripeness when the fruits exported to the country with high temperature environment, especially in the fruits of 'Wonhwang' pears showing rapid quality loss and severe physiological disorders.

• Journal of Bio-Environment Control
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• v.25 no.4
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• pp.328-333
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• 2016

This study was conducted to determine the influences of winter and summer pruning on the yield and fruit quality in southern highbush blueberry (Vaccinium corymbosum L. hybrid) cv. 'Misty'. The 5-year-old southern highbush blueberry 'Misty' were used. The pruning treatments were as follows: 1) control (no pruning), 2) winter pruning (30% removed), and 3) winter pruning + summer pruning (Aug. 5). Fruits harvested for six times over the harvest season and measured yields, unmarketable fruit (defected and immature fruit), changes of each fruit weight and analyzed fruit characteristics, such as total sugar, total anthocyanin contents and total phenolic contents. The differential pruning treatments were not significant for fruit yields of southern highbush 'Misty'. No pruning treatment showed regular yields after the 2nd harvest, but the other pruning treatments were appeared that fruit yields were more concentrated on the 2nd~4th harvest time. Total sugar and total phenolic contents were observed the highest at the 4th time among the harvest period. No pruning treatment showed the highest unmarketable fruit yield at 57%, however, that of winter pruning and winter + summer pruning treatment occurred at 26%, 31%, respectively.

• Journal of Internet Computing and Services
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• v.14 no.2
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• pp.53-59
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• 2013

Harvesting energy from the environment is essential for many applications to slow down the deterioration of energy in sensor networks. Energy from the environment is an inexhaustible supply which, if properly managed and harvested from the sources, can allow the system to last for a longer period. Many simulators simulate whole sensor networks where the nodes rely on energy harvesting for their source of power. It is important to be able to assume and simulate a node that can harvest energy from different sources of ambient energy. It is also essential to be able to keep track of the energy levels of the node and adjust node activities based on its energy status. This study aims to develop a prototype for a single node simulator that will show the effects of harvesting from different sources of energy. The results of this study can later be extended for more complicated simulations.

• Current Research on Agriculture and Life Sciences
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• v.31 no.3
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• pp.209-216
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• 2013

This study compared the antioxidant activity and functional constituents of the peel, flesh,and placenta of oriental melons according to the harvest time. The sample oriental melons were harvested during the major harvest time (from June to August) and divided into peel, flesh, and placenta. To examine the antioxidant activity and functional constituents, the sample melons were extracted using EtOH. As a result, the functional constituents and antioxidant activity of the oriental melons were found to change according to the harvest time. The total phenol and total flavonoid contents were highest in the samples harvested in June, and lowest in the samples harvested in July. Meanwhile, the antioxidant activities were estimated using an ABTS and FRAP assay, where the samples harvested in June also showed the strongest the antioxidant potential, while the samples harvested in July showed significantly lower antioxidant activities. This means that the climate influences the synthesis of secondary metabolites. The above data also suggests that oriental melons harvested in June contain more functional phytochemicals, making them more beneficial for human health.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1999.07a
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• pp.142-149
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• 1999

최근 주변첨단기술이 발달하여 수확, 접목 및 착유 등 농작업에 로봇을 응용하기 위한 연구가 수행되고 있다. 작업의 특성에 따라 응용되는 로봇기술도 차이는 있겠으나 수확용 로봇의 경우 대상물을 인식하고 위치를 검출하는 기술개발이 선행되어야만 대상물을 파지 또는 절단하여 수확이 가능하며, 대상물의 인식 및 위치 검출에는 영상처리기술이 많이 응용되고 있다. 따라서 수확로봇의 작업성능은 대상물을 얼마나 정확하게 인식하고 위치를 정확하게 검출하는 것이 중요하다. 그러나 작업대상이 일정한 조건에서 표준화 되어있는 일반 산업분야와는 달리 농산물의 수확작업현장은 대상물의 배치, 크기 및 형상 둥이 일정하지 않고 작업환경 또한 다양하여 외란의 영향을 많기 받기 때문에 시각장치의 개발은 매우 중요하다. (중략)

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.337-357
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• 2021

Because the growth of paddy rice is affected by meteorological factors, the selection of appropriate meteorological variables is essential to build a rice yield prediction model. This paper examines the suitability of multiple meteorological datasets for the rice yield modeling in South Korea, 1996-2019, and a hindcast experiment for rice yield using a machine learning method by considering the nonlinear relationships between meteorological variables and the rice yield. In addition to the ASOS in-situ observations, we used CRU-JRA ver. 2.1 and ERA5 reanalysis. From the multiple meteorological datasets, we extracted the four common variables (air temperature, relative humidity, solar radiation, and precipitation) and analyzed the characteristics of each data and the associations with rice yields. CRU-JRA ver. 2.1 showed an overall agreement with the other datasets. While relative humidity had a rare relationship with rice yields, solar radiation showed a somewhat high correlation with rice yields. Using the air temperature, solar radiation, and precipitation of July, August, and September, we built a random forest model for the hindcast experiments of rice yields. The model with CRU-JRA ver. 2.1 showed the best performance with a correlation coefficient of 0.772. The solar radiation in the prediction model had the most significant importance among the variables, which is in accordance with the generic agricultural knowledge. This paper has an implication for selecting from multiple meteorological datasets for rice yield modeling.